Факторный анализ и категориальный метод главных компонент: сравнительный анализ и практическое применение для обработки результатов анкетирования

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Факторный анализ и категориальный метод главных компонент…
Гуманитарный вестник # 10·2017 15
Factor analysis and categorial principal component analysis:
comparative analysis and practical application
for processing of questionnaire survey results
© Е.Е. Fomina
Tver State Technical University, Tver, 170026, Russia
The questionnaire survey is one of the main tools of studying the state of public opinion
in the work of the sociologist. The primary result of the survey is usually a database that
requires further in-depth analysis and search for relationships among variables being
studied. To solve this problem a factor analysis and categorial principal component
analysis can be applied. It allows making obtained results meaningful. Despite the fact
that using these methods one problem is solved, they include different algorithms for de-
termining integral characteristics, so the problem of selecting the appropriate method is
relevant. The article compares factor analysis and categorial principal component analy-
sis both from a theoretical position and from the point of view of practical application.
An example of processing of questionnaire survey results is considered, and methodolog-
ical recommendations are offered.
Keywords: factor analysis, CatPCA algorithm, principal component analysis, question-
naire survey
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